Exploring the Potential of AI Tools in Education: A Thematic Analysis of Gemini.ai

Artificial intelligence (AI) technologies, such as Gemini.ai, are revolutionizing higher education by enhancing data analysis and interpretation. This study aimed to investigate how Gemini.ai can enhance clarity in analytical results, provide contextually adaptive responses, and excel in advanced data modeling. We collected data through interviews with industrial engineering students and conducted thematic analysis using a qualitative research approach. The findings reveal that Gemini.ai significantly enhances user comprehension by simplifying complex data, offering tailored responses based on user commands, and integrating external information sources for robust data modeling. However, the study also highlights the need for further development, including improved customization options and advanced modeling features. These results demonstrate the transformative potential of AI tools like Gemini.ai in fostering intuitive, user-centric analytical experiences. The insights gained can inform the development of AI-driven educational tools, promoting personalized learning and critical thinking in higher education. Future research should explore interdisciplinary applications and the ethical implications of integrating AI in education to enhance its efficacy and accessibility.

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Publication Details

Journal
Gema Wiralodra
Published
2024-12-29
DOI
https://doi.org/10.31943/gw.v15i3.771
Citations
3
Primary Topic
Engineering Education and Technology
Type
article
Field-Weighted Citation Impact
2.34

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article

Exploring the Potential of AI Tools in Education: A Thematic Analysis of Gemini.ai

Edi Supriyadi, Samsul Pahmi
3 citations
Gema Wiralodra
Engineering Education and Technology
2.34
article

Exploring the Potential of AI Tools in Education: A Thematic Analysis of Gemini.ai

Edi Supriyadi, Samsul Pahmi
article en
3 citations

Abstract

Artificial intelligence (AI) technologies, such as Gemini.ai, are revolutionizing higher education by enhancing data analysis and interpretation. This study aimed to investigate how Gemini.ai can enhance clarity in analytical results, provide contextually adaptive responses, and excel in advanced data modeling. We collected data through interviews with industrial engineering students and conducted thematic analysis using a qualitative research approach. The findings reveal that Gemini.ai significantly enhances user comprehension by simplifying complex data, offering tailored responses based on user commands, and integrating external information sources for robust data modeling. However, the study also highlights the need for further development, including improved customization options and advanced modeling features. These results demonstrate the transformative potential of AI tools like Gemini.ai in fostering intuitive, user-centric analytical experiences. The insights gained can inform the development of AI-driven educational tools, promoting personalized learning and critical thinking in higher education. Future research should explore interdisciplinary applications and the ethical implications of integrating AI in education to enhance its efficacy and accessibility.

Gema WiralodraVol. 15(3)
Bandung Institute of Technology (ID), Universitas Wijaya Putra (ID)
Direktorat Jenderal Pendidikan Tinggi
Quality Education
Openalex Percentile: Top 8%
Engineering Education and Technology
2.34
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